abstract = "Based on predictions of stock-prices using genetic
programming (or GP), a possibly profitable trading
strategy is proposed. A metric quantifying the
probability that a specific timeseries is
GP-predictable is presented first. It is used to show
that stock prices are predictable. GP then evolves
regression models that produce reasonable one-day-ahead
forecasts only. This limited ability led to the
development of a single day-trading strategy(SDTS) in
which trading decisions are based on GP-forecasts of
daily highest and lowest stock prices.SDTS executed for
fifty consecutive trading days of six stocks yielded
relatively high returns on investment.",